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---
tags:
- merge
- mergekit
- lazymergekit
- eren23/slerp-test-turdus-beagle
- udkai/Turdus
- 222gate/BrurryDog-7b-v0.1
base_model:
- eren23/slerp-test-turdus-beagle
- udkai/Turdus
- 222gate/BrurryDog-7b-v0.1
license: apache-2.0
---
# bleagle-7b-v0.1-test
bleagle-7b-v0.1-test is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [eren23/slerp-test-turdus-beagle](https://huggingface.co/eren23/slerp-test-turdus-beagle)
* [udkai/Turdus](https://huggingface.co/udkai/Turdus)
* [222gate/BrurryDog-7b-v0.1](https://huggingface.co/222gate/BrurryDog-7b-v0.1)
## 🧩 Configuration
```yaml
models:
- model: eren23/slerp-test-turdus-beagle
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: udkai/Turdus
parameters:
density: 0.5
weight: [0, 0.3, 0.7, 1] # weight gradient
- model: 222gate/BrurryDog-7b-v0.1
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: dare_ties
base_model: leveldevai/MarcBeagle-7B
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
embed_slerp: true
tokenizer_source: union
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "222gate/bleagle-7b-v0.1-test"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
``` |